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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 18359
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    Explanations

    phrases indicating levels of difficulty or improbability

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "let alone."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.73
    assian
    -0.72
    cill
    -0.69
    idian
    -0.59
    antz
    -0.58
    ets
    -0.56
    edge
    -0.54
    cale
    -0.54
     encount
    -0.54
    peria
    -0.53
    POSITIVE LOGITS
     alone
    1.20
    tered
    0.92
    tering
    0.88
    hetically
    0.85
    ting
    0.80
    icia
    0.77
    ingly
    0.76
    ogether
    0.72
    ardless
    0.70
    ãĥĥãĥī
    0.67
    Activations Density 0.021%

    No Known Activations